Sr. Data Engineer

Technical, Data Warehousing, Computer Science, Amazon Redshift, Team Building, Software Engineering, Amazon Web Services, Azure
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

Waitr seeks a Sr. Data Engineer.

We're looking for someone who:

  • has several years of experience building data warehouses, data lakes, and real-time analytics applications.

  • wants to live at the intersection of software engineering and data science

  • has hands-on experience in software engineering and you are up-to-date on best practices.

  • is excited to explain complex technical concepts and share your knowledge with diverse audiences both internally and externally.

  • can anticipate future data needs for the analytics and craft plans to realize them.

  • loves helping mentor fellow engineers develop new skills and advance in their careers.

  • has a bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience.

  • has experience with one or more Cloud Platforms (AWS, Google Cloud, Azure)

  • has experience writing well tested, clean code and building CI/CD pipelines to deliver solutions as quickly as possible.

Now, onto the role of a Sr. Data Engineer. Our highly-caffeinated Engineering Team builds the framework of the Waitr experience one line of code at a time. They maintain all our products, collect data, measure impact, build new features, release improvements, and vet new products to improve our services.

Here's how you'll be spending your week:

  • You’ll be maintaining and building new data pipelines

  • You'll own the uptime and reliability of our data warehouse (AWS Redshift)

  • You'll build high performing and scalable data systems to support multiple internal and 3rd party data pipelines and make the data available as soon as possible 

  • You’ll contribute to the continued evolution of Waitr’s data stack.

Dice Id : 90833617
Position Id : W6045100
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